class_docstr: The class for model hyper-parameter configuration.
code: def __init__(self):
      self.batch_size = 128
  
      self.dropout = 0.1
  
      self.char_vcb_size = 1500
      self.max_char_length = 20
      self.char_embed_dim = 100
  
      self.max_query_length = 40
      self.max_passage_length = 800
  
      self.att_is_vanilla = True
      self.att_need_padding = False
      self.att_is_id = False
  
      self.ptr_dim = 70
      self.learning_rate = 0.1
      self.labelsmoothing = 0.1
      self.num_heads = 1
      self.rnn_units = 256
  
file_path: nni/examples/trials/ga_squad/train_model.py
imports: import tensorflow
  from attention import DotAttention
  from rnn import XGRUCell
  from util import dropout
  from graph_to_tf import graph_to_network
label_desc: Use image node_id 1 to create a new GAGConfig object  with example: obj = GAGConfig()